Efficient class of tree network balanced designs for agroforestry experimentation

Birteeb, Peter T and Varghese, Cini and Jaggi, Seema and Varghese, Eldho and Harun, Mohammed (2020) Efficient class of tree network balanced designs for agroforestry experimentation. Communications in Statistics - Simulation and Computation. pp. 1-11.

[img] Text
Communications in Statistics - Simulation and Computation_2020_Eldho Varghese.pdf
Restricted to Registered users only

Download (1MB) | Please mail the copy request to cmfrilibrary@gmail.com
Official URL: https://www.tandfonline.com/doi/abs/10.1080/036109...
Related URLs:

    Abstract

    The use of an appropriate design is a very important aspect of agroforestry experimentation. Since different species of trees may interact spatially, plots in agroforestry could be connected through network of trees which would create non-directional adjacency effects on a plot. Hence, there is a need to take the “direct effect of trees” and “tree network effects” on the crop into account when designing an agroforestry experiment. Tree network effect refers to the influence a tree exerts on the surrounding plots as a result of adjacency of the plots. In this paper, a class of network designs incorporating effects of trees from adjacent plots has been obtained. The characterization properties of the designs have also been studied. The designs are found to be variance balanced for the estimation of direct as well as network effects of trees. They are also highly efficient designs, and hence, are recommended for agroforestry experimentation with multiple tree species and a single crop.

    Item Type: Article
    Uncontrolled Keywords: Adjacency matrix; Agroforestry; Canonical efficiency factor; Fisher’s information matrix; Network balanced designs; SAS macro
    Subjects: Statistical Designs
    Divisions: CMFRI-Kochi > Marine Capture > Fishery Resources Assessment Division
    Subject Area > CMFRI > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment Division
    CMFRI-Kochi > Marine Capture > Fishery Resources Assessment Division
    Subject Area > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment Division
    Depositing User: Arun Surendran
    Date Deposited: 09 Feb 2021 08:36
    Last Modified: 11 Oct 2022 08:56
    URI: http://eprints.cmfri.org.in/id/eprint/14884

    Actions (login required)

    View Item View Item